Version 0.5.2

• fix NLopt compatibility

v0.5.1

LikelihoodProfiler v0.5.1

Diff since v0.5.0

Merged pull requests:

• Fix typos in src (#8) (@pitmonticone)

Closed issues:

• Liklihood profile does not computed all the way to identifiability level. (#9)
• Failure the find correct interval (for :CICO_ONE_PASS, :LIN_EXTRAPOL suceeds) (#11)

Version 0.5.0

• support of scales in profile
• use :lin as a synonym of :direct
• julia 1.7 compatibility
• progress info
• autodiff argument in get_right_endpoint
• show method for Endpoint, ParamInterval
• add support of :FAILURE return code

v0.4.0

LikelihoodProfiler v0.4.0

Diff since v0.3.3

v0.3.3

LikelihoodProfiler v0.3.3

Diff since v0.3.1

Merged pull requests:

• box constraints added (#4) (@ivborissov)

Version 0.3.1

• add case: PK model with saturation
• handling errors in loss function
• add :LOSS_ERROR_STOP
• fix bug in constraint for :CICO
• repository structure: add manifest file
• add new tests
• documentation updates

Version 0.3.0

• add case: PK model with saturation
• handling errors in loss function
• add :LOSS_ERROR_STOP
• fix bug in constraint for :CICO
• repository structure: add manifest file
• add new tests
• documentation updates

Precompilation new tests

The release contains the following changes:

• added tests for plot and adpted grid
• adapted_grid2 file removed
• precompilation added
• minor changes to tests

First release with new API and documentation

This is the first release of LikelihoodProfiler with sufficient functionality to detect parameters identifiability, estimate confidence intervals and plot parameter profiles

Experimental release for ASCPT2018 conf

The first release of LikelihoodProfiler Julia package.

Includes:

• :ONE_PATH method for estimation of confidence intervals. Based on CICO approach, see documentation
• :D2D_PLE method for estimation of confidence intervals. Uses rewritten derivation free method from d2d, see documentation.
• optional transformation to :log space for particular parameters for :ONE_PATH method
• unit tests for test cases series
• params_plot function for preparation smooth curve based on modified adapted_grid from https://github.com/JuliaPlots/PlotUtils.jl